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REGISTRATION PERIOD     6 Nov 2024 - 26 Jan 2025

COURSE DATE 21 Apr 2025 - 19 Apr 2026 COURSE DURATION / FREQUENCY 3 hours/session (2 days/week)
MODE OF LEARNING Facilitated Learning (Face-to-Face/ Online Synchronous) and Asynchronous E-Learning COURSE VENUE Temasek Polytechnic

Course Overview

Most data science projects require sophisticated computing, mathematical and analytical skills. However, all this has changed with new technologies such as augmented analytics and automated machine learning.

 

You would not require a professional background in technology as this programme will train and guide you to easily apply sophisticated analytical techniques and algorithms for data science projects. You will learn augmented analytics in data preparation, exploration, and insight discovery, as well as use automated Machine Learning (ML) to operationalize machine learning models. Be equipped with the skills to select the appropriate tools for visualisation and employ storytelling techniques to communicate data insights to optimise business decisions. 

 

With these skills, you would be able to carry out more complex data science projects on your own and augment the work of your current data scientists.


All students are required to bring their own notebooks for lessons. You may refer to the required technical specifications for notebook HERE.

What You'll Learn

To be awarded the Specialist Diploma, participants are required to complete a total of 2 Post-Diploma Certificates (PDCs). A certificate will be issued upon successful completion of each PDC.

Subject Code Subject
CDS1C01 Augmented Data Preparation

This subject covers the fundamental principles of data preparation and the skills involved in automating data preparation tasks. The subject includes understanding augmented analytics life cycle, preparing data for a specific problem and using the right tools to transform the data into analytics-ready datasets.

CDS1C02 Automated Machine Learning

This subject covers the fundamental principles of Machine Learning (ML) and the skills involved in automating ML modelling and model operationalization, without the need for extensive programming knowledge. This includes how to identify the ML problem and undertake the ML lifecycle by using the right tools to accelerate the configuration and optimization of the target and parameters for predictive model building, and utilize metrics to determine the best model.

Subject Code Subject
CBG1C03 Data Visualisation Fundamentals

This subject covers graphing fundamentals, graphing properties and building dashboards for reporting purposes using relevant statistical modeling and analysis techniques. Topics covered include the preparation and analysis of visualised data to support managerial decision-making.

CDS1C03 Data-driven Storytelling

Turn overwhelming and complicated data into compelling narratives by applying storytelling principles to your analytics work. This subject covers the fundamental concepts in understanding an audience and communicating findings to them in a meaningful way. This includes how to identify suitable storylines, leverage analogies and examples, and deploy productive storyboards with memorable visual representations.

Modes of Assessment

 

You will be assessed by coursework. There is no examination for this course.


For more information on course fee / schedule, or to apply,

Hear from our Learners

Career Opportunities

Graduates can expect good employment prospects to solve business problems using data with greater depth and breadth across many industries such as government organisations, financial and banking institutions and consulting firms as business intelligence analysts, business analytics specialists, business analytics tech consultants, Customer Relationship Management (CRM) analysts, data mining specialists, data warehousing specialists, web & social media analysts and research analysts.

Entry Requirements

 

A Polytechnic Diploma or ITE Technical Diploma / Technical Engineer Diploma / Work-Learn Technical Diploma or equivalent
OR
A Bachelor’s Degree or equivalent
OR

A Post-Secondary Certificate

AND with at least 3 Years of relevant working experience

Suitable For

This course is targeted at Diploma graduates and Professionals, Managers and Executives (PMEs) who are keen to perform advanced analytics in enhancing their line-of-business roles.

FAQs

What is the difference between the Specialist Diploma in Business Analytics (SDBA) and Specialist Diploma in Data Science for Business (SDDSB)? How will I benefit from the programmes?

What is the difference between the Specialist Diploma in Business Analytics (SDBA) and Specialist Diploma in Data Science for Business (SDDSB)? How will I benefit from the programmes?

The Specialist Diploma in Business Analytics provides training in the tools and techniques of business intelligence which enables you to know what happened in the past in order to draw insights to improve an organisation’s performance, understand their customers better and identify areas for improvement. It delves deep into data mining techniques with statistical concepts that transform data into business insights for day-to-day decision making. Those who wish to acquire skills in data preparation, data modeling, data mining fundamentals with step-by-step know-how, should apply for the SDBA course. Someone who wants to work as a Data Analyst / Senior Data Analyst, Business Analyst / Senior Business Analyst would benefit from this course.

The Specialist Diploma in Data Science for Business enhances the skills and knowledge of participants in the area of advanced analytics such as augmented analytics, automated machine learning and data driven storytelling. It targets diploma graduates and those working in the industry who have had a couple of years of domain work experience and wish to acquire skills in data science. The use of advanced data analytics tools lowers the technology barrier for things like scripting and coding – this is helpful for business domain professionals with low-tech skills as it enables them to undertake data science projects more easily. This approach helps to bridge the data skills gap and enables business users to undertake some basic data science work. AI and machine learning concepts are also emphasised to equip participants with predictive modelling competencies and to operationalise the models. Those who want to jumpstart in the area of data science and wish to pick up the fundamental skills easily should choose SDDSB.

 

Are the admission requirements the same for the Specialist Diploma in Business Analytics and Specialist Diploma in Data Science for Business?

Are the admission requirements the same for the Specialist Diploma in Business Analytics and Specialist Diploma in Data Science for Business?

The minimum entry requirement for both Specialist Diploma courses is similar. Prior knowledge of programming is not a requirement in both courses.

Which programme allows me to become a data scientist?

Which programme allows me to become a data scientist?

Both programmes enable you to undertake work as a data / business analyst. Both courses are complementary in nature and help you to expand your skillsets. To be a full-fledged data scientist you will need to progress after completing these specialist diploma courses to take up advanced university courses.

What is data driven storytelling?

What is data driven storytelling?

Data Storytelling is an essential data science skill that everyone needs. Data driven story telling focuses on how to identify suitable storylines, leverage analogies and examples, and deploy productive storyboards with memorable visual representations to communicate findings. You will learn through case studies and learn from experienced guest speakers on how to tell your data story with clarity.

What are the programming languages used in these courses?

What are the programming languages used in these courses?

There is no coding for the Specialist Diploma in Business Analytics, whereas the Specialist Diploma in Data Science for Business will expose participants to available packages that can perform AI and automated machine learning with minimum coding.

If I am interested in both programmes, which one should I embark on first?

If I am interested in both programmes, which one should I embark on first?

The choice you make will depend on your job aspirations and job role.

If I have completed the Specialist Diploma in Business Analytics, is it worthwhile for me to take the Specialist Diploma in Data Science for Business?

If I have completed the Specialist Diploma in Business Analytics, is it worthwhile for me to take the Specialist Diploma in Data Science for Business?

Yes, you will receive exemption for the Data Visualization subject. Also, as AI and machine learning concepts are covered in depth in the Specialist Diploma in Data Science for Business, you will gain useful skills in predictive modelling to forecast future outcomes.

Are there any differences in the job roles I can take up?

Are there any differences in the job roles I can take up?

Based on the Singapore Skills Framework Job Roles (ICT), graduates of both programmes will be able to take on similar job roles as Data Analyst / Senior Data Analyst, Business Analyst / Senior Business Analyst. You would have expanded capabilities in data mining if you take up the Specialist Diploma in Business Analytics; and in predictive modelling if you take up the Specialist Diploma in Data Science for Business.

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Course Contact

  • Mainline 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
     
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)
    Temasek Polytechnic
    East Wing, Block 1A, Level 3, Unit 109
    21 Tampines Ave 1
    Singapore 529757

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.